Factors associated with involuntary hospital admissions in technology-dependent children

Detalhes bibliográficos
Autor(a) principal: Okido,Aline Cristiane Cavicchioli
Data de Publicação: 2016
Outros Autores: Pina,Juliana Coelho, Lima,Regina Aparecida Garcia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista da Escola de Enfermagem da USP (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342016000100029
Resumo: Abstract OBJECTIVE To identify the factors associated with involuntary hospital admissions of technology-dependent children, in the municipality of Ribeirão Preto, São Paulo State, Brazil. METHOD A cross-sectional study, with a quantitative approach. After an active search, 124 children who qualified under the inclusion criteria, that is to say, children from birth to age 12, were identified. Data was collected in home visits to mothers or the people responsible for the children, through the application of a questionnaire. Analysis of the data followed the assumptions of the Generalized Linear Models technique. RESULTS 102 technology-dependent children aged between 6 months and 12 years participated in the study, of whom 57% were male. The average number of involuntary hospital admissions in the previous year among the children studied was 0.71 (±1.29). In the final model the following variables were significantly associated with the outcome: age (OR=0.991; CI95%=0.985-0.997), and the number of devices (OR=0.387; CI95%=0.219-0.684), which were characterized as factors of protection and quantity of medications (OR=1.532; CI95%=1.297-1.810), representing a risk factor for involuntary hospital admissions in technology-dependent children. CONCLUSION The results constitute input data for consideration of the process of care for technology-dependent children by supplying an explanatory model for involuntary hospital admissions for this client group.
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spelling Factors associated with involuntary hospital admissions in technology-dependent childrenChildHospitalizationPediatric NursingAbstract OBJECTIVE To identify the factors associated with involuntary hospital admissions of technology-dependent children, in the municipality of Ribeirão Preto, São Paulo State, Brazil. METHOD A cross-sectional study, with a quantitative approach. After an active search, 124 children who qualified under the inclusion criteria, that is to say, children from birth to age 12, were identified. Data was collected in home visits to mothers or the people responsible for the children, through the application of a questionnaire. Analysis of the data followed the assumptions of the Generalized Linear Models technique. RESULTS 102 technology-dependent children aged between 6 months and 12 years participated in the study, of whom 57% were male. The average number of involuntary hospital admissions in the previous year among the children studied was 0.71 (±1.29). In the final model the following variables were significantly associated with the outcome: age (OR=0.991; CI95%=0.985-0.997), and the number of devices (OR=0.387; CI95%=0.219-0.684), which were characterized as factors of protection and quantity of medications (OR=1.532; CI95%=1.297-1.810), representing a risk factor for involuntary hospital admissions in technology-dependent children. CONCLUSION The results constitute input data for consideration of the process of care for technology-dependent children by supplying an explanatory model for involuntary hospital admissions for this client group.Universidade de São Paulo, Escola de Enfermagem2016-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342016000100029Revista da Escola de Enfermagem da USP v.50 n.1 2016reponame:Revista da Escola de Enfermagem da USP (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0080-623420160000100004info:eu-repo/semantics/openAccessOkido,Aline Cristiane CavicchioliPina,Juliana CoelhoLima,Regina Aparecida Garciaeng2016-03-15T00:00:00Zoai:scielo:S0080-62342016000100029Revistahttp://www.scielo.br/reeuspPUBhttps://old.scielo.br/oai/scielo-oai.php||nursingscholar@usp.br1980-220X0080-6234opendoar:2016-03-15T00:00Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Factors associated with involuntary hospital admissions in technology-dependent children
title Factors associated with involuntary hospital admissions in technology-dependent children
spellingShingle Factors associated with involuntary hospital admissions in technology-dependent children
Okido,Aline Cristiane Cavicchioli
Child
Hospitalization
Pediatric Nursing
title_short Factors associated with involuntary hospital admissions in technology-dependent children
title_full Factors associated with involuntary hospital admissions in technology-dependent children
title_fullStr Factors associated with involuntary hospital admissions in technology-dependent children
title_full_unstemmed Factors associated with involuntary hospital admissions in technology-dependent children
title_sort Factors associated with involuntary hospital admissions in technology-dependent children
author Okido,Aline Cristiane Cavicchioli
author_facet Okido,Aline Cristiane Cavicchioli
Pina,Juliana Coelho
Lima,Regina Aparecida Garcia
author_role author
author2 Pina,Juliana Coelho
Lima,Regina Aparecida Garcia
author2_role author
author
dc.contributor.author.fl_str_mv Okido,Aline Cristiane Cavicchioli
Pina,Juliana Coelho
Lima,Regina Aparecida Garcia
dc.subject.por.fl_str_mv Child
Hospitalization
Pediatric Nursing
topic Child
Hospitalization
Pediatric Nursing
description Abstract OBJECTIVE To identify the factors associated with involuntary hospital admissions of technology-dependent children, in the municipality of Ribeirão Preto, São Paulo State, Brazil. METHOD A cross-sectional study, with a quantitative approach. After an active search, 124 children who qualified under the inclusion criteria, that is to say, children from birth to age 12, were identified. Data was collected in home visits to mothers or the people responsible for the children, through the application of a questionnaire. Analysis of the data followed the assumptions of the Generalized Linear Models technique. RESULTS 102 technology-dependent children aged between 6 months and 12 years participated in the study, of whom 57% were male. The average number of involuntary hospital admissions in the previous year among the children studied was 0.71 (±1.29). In the final model the following variables were significantly associated with the outcome: age (OR=0.991; CI95%=0.985-0.997), and the number of devices (OR=0.387; CI95%=0.219-0.684), which were characterized as factors of protection and quantity of medications (OR=1.532; CI95%=1.297-1.810), representing a risk factor for involuntary hospital admissions in technology-dependent children. CONCLUSION The results constitute input data for consideration of the process of care for technology-dependent children by supplying an explanatory model for involuntary hospital admissions for this client group.
publishDate 2016
dc.date.none.fl_str_mv 2016-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342016000100029
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0080-623420160000100004
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade de São Paulo, Escola de Enfermagem
publisher.none.fl_str_mv Universidade de São Paulo, Escola de Enfermagem
dc.source.none.fl_str_mv Revista da Escola de Enfermagem da USP v.50 n.1 2016
reponame:Revista da Escola de Enfermagem da USP (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
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reponame_str Revista da Escola de Enfermagem da USP (Online)
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repository.name.fl_str_mv Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||nursingscholar@usp.br
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